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Field
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-mineral interactions Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: Master qualification degree in ecology, biogeochemistry, Earth
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-mineral interactions Physics-informed deep learning/hybrid modeling/reasoning AI algorithm development and optimization Job Requirements: Master qualification degree in ecology, biogeochemistry, Earth
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the CoMPaSS-NMD project using the innovative classification algorithm of gene variants named GORDIAN SCORE. The project aims at studying the genomes of individuals with neuromuscular disorders to
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support the research on Integrated Sensing and Communications (ISAC) with Reconfigurable Intelligent Metasurfaces (RIS). Key Responsibilities: Design the algorithm for Integrated Sensing and
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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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Algorithm Defense Research: Creat e practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques
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Algorithm Defense Research: Creat e practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
statistical and data analytics techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm
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datasets. Strong foundation in signal processing, statistical analysis, computational modeling, or algorithm development. Ability to process, clean, analyze, and interpret complex datasets
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similar In the research group Navigation Mobile Robots, we develop autonomous robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development